IBM Big Data Hub

FEBRUARY 5, 2024

There is even more help on the horizon with the power of generative artificial intelligence (AI) foundation models, combined with traditional AI, to exert greater control over complex asset environments. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

Optimization 92

Optimization Management Key Performance Indicator Modeling 92

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

CIO Business Intelligence

DECEMBER 18, 2023

Technology Solutions’ dominant model revolved around hardware products. While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models.

Software 95

Software Technology Digital Transformation Data-driven 95

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. How does one express “context” in a data model?

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

CIO Business Intelligence

OCTOBER 16, 2023

It leverages techniques to learn patterns and distributions from existing data and generate new samples. GenAI models can generate realistic images, compose music, write text, and even design virtual worlds. The critical characteristic of GenAI is its ability to explicitly create something that does not exist in the training data.

Forecasting 112

Forecasting Machine Learning Software Data-driven 112

IBM Big Data Hub

MAY 9, 2023

The answer is that generative AI leverages recent advances in foundation models. Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

erwin

JANUARY 14, 2021

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. When the pandemic first hit, there was some negative impact on big data and analytics spending.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

DataKitchen

FEBRUARY 2, 2023

Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. We are heading into ‘data winter.’

Metadata 130

Metadata Testing Risk Data Science 130

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. ISO 20022 drives improved analytics and new revenue opportunities ISO 20022 enables more sophisticated payment analytics by providing a richer data set for analysis.

Risk Management 112

Risk Management Cost-Benefit Risk Data-driven 112

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

Cloudera

OCTOBER 19, 2023

Large 5G networks will host tens of millions of connected devices (somewhere in the 1,000x capacity compared to 4G), each instrumented to generate telemetry data, giving telcos the ability to model and simulate operations at a level of detail previously impossible.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

Cloudera

AUGUST 12, 2021

A more data driven approach also leads to greater transparency and meritocracy when new opportunities and promotions are based on performance rather than politics, ensuring that top-talent is nurtured and rewarded. Streamlining operations with advanced analytics to preempt issues. Data enables Innovation & Agility.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Cloudera

FEBRUARY 15, 2024

Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections. This results in enhanced efficiency in compliance processes.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 59

OLAP Slice and Dice Cost-Benefit Data Warehouse 59

FineReport

APRIL 21, 2024

Why SaaS BI Tools Matter The Shift to Cloud-Based Data Analysis The global market for SaaS-based Business Intelligence is experiencing significant growth, driven by factors such as cost-effectiveness, scalability, and real-time data access.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 58

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 58

Ontotext

MAY 5, 2023

These two key data elements are used in approximately 80% of the use cases in the sector. It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. FIBO represents such a common vocabulary.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? All of that data puts a load on even the most powerful equipment.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

DataKitchen

FEBRUARY 21, 2023

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. Build components that are idempotent on data.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

FineReport

APRIL 9, 2024

The pivotal role of healthcare BI tools lies in advancing clinical business intelligence, enabling healthcare providers to harness the power of data for informed decision-making and enhanced patient care. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Ontotext

AUGUST 4, 2023

As a design concept, data fabric requires a combination of existing and emergent data management technologies beyond just metadata. Data fabric does not replace data warehouses, data lakes, or data lakehouses.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. This new world of analytics has introduced a different set of complexities that have propelled IT organizations to build new technology infrastructures. But, enterprises have still failed to realize the ROI.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

IBM Big Data Hub

DECEMBER 20, 2023

The hybrid multicloud model Today most enterprise businesses rely on a hybrid multicloud environment. Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. Infrastructure-as-a-Service (IaaS) offers consumers fundamental compute, network and storage resources on demand.

Strategy 96

Strategy Cost-Benefit Digital Transformation Optimization 96

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

IBM Big Data Hub

JULY 10, 2023

A mix of institutional knowledge, legacy applications, data and analytics form the backbone of many organizations’ IT operations, however when a single component falls out of harmony, the entire system can fail. It quickly pulls from disparate data sources with integrated data, enabling faster and more informed decision making.

IT 50

IT Metrics Cost-Benefit Data-driven 50

Jet Global

OCTOBER 24, 2023

This gives decision-makers access to current data for financial and operational reporting, reducing decision-making based on outdated information. Faster decision-making: Real-time data enables faster decision-making, allowing organizations to respond quickly to ever-changing market conditions. It has no impact on performance.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

FineReport

APRIL 24, 2024

Tailored Presentations : Visualization allows for the customization of data presentations based on the specific needs and preferences of different stakeholders. Whether it’s a high-level overview for executives or detailed analytics for technical teams, visualizations can be tailored to cater to diverse audiences.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Alation

FEBRUARY 20, 2020

Data catalogs are here to stay. This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. Another telltale sign of category creation is that it comes with a distinctive business model and profit model.” [7].

Machine Learning 52

Machine Learning Marketing Reporting ROI 52